Detalhe da pesquisa
1.
ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection.
Biostatistics
; 21(4): 758-774, 2020 10 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-30851046
2.
ZiMM: A deep learning model for long term and blurry relapses with non-clinical claims data.
J Biomed Inform
; 110: 103531, 2020 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-32818667
3.
Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework.
BMC Med Res Methodol
; 19(1): 50, 2019 03 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-30841867
4.
SCALPEL3: A scalable open-source library for healthcare claims databases.
Int J Med Inform
; 141: 104203, 2020 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-32485553
5.
C-mix: A high-dimensional mixture model for censored durations, with applications to genetic data.
Stat Methods Med Res
; 28(5): 1523-1539, 2019 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-29658407
6.
Self-Exclusion among Online Poker Gamblers: Effects on Expenditure in Time and Money as Compared to Matched Controls.
Int J Environ Res Public Health
; 16(22)2019 11 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-31717923
7.
Description and assessment of trustability of motives for self-exclusion reported by online poker gamblers in a cohort using account-based gambling data.
BMJ Open
; 8(12): e022541, 2018 12 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-30580263